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Launch your career in Data and AI through our bootcamp programs

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Data Science Bootcamp

Become a data engineer by learning how to build end-to-end data pipelines


Become a data analyst through building hands-on data/business use cases

Become an AI/ML engineer by getting specialized in deep learning, computer vision, NLP, and MLOps

Become a DevOps Engineer by learning AWS, Docker, Kubernetes, IaaS, IaC (Terraform), and CI/CD

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Improve your data & AI skills through self-paced and instructor-led courses

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Learn to build impressive data/AI portfolio projects that get you hired

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Build data strategies and solve ML challenges for real clients

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Build end to end data pipelines in the cloud for real clients


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We’ve partnered with many companies on corporate upskilling, branding events, talent acquisition, as well as consulting services.

AI/Data Transformations with our customized and proven curriculum

Do you need expert help on data strategies and project implementations? 

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Consulting Case Study: Real-time Data Streaming Pipeline Optimization

Background Our client is providing advanced agriculture tools and digital information to farmers to become more profitable. The company utilizes sensor solutions and provides real-time and actionable insights. It also provides farmers with the power to control their operating costs. Their product is a solution that saves farms over $20,000 annually by improving energy efficiency […]

Consulting Case Study: Job Market Analysis

Executive Summary WeCloudData is one of the fastest growing Data & AI training companies in the world. Since 2016, WeCloudData has trained and helped thousands of students and clients level up their data skills and mature their data organizations. Understanding the job market is a central business need for many organizations and for all HR […]

Data Visualisation in Einstein Analytics using Stack Over Flow data from Redshift.

The blog is posted by WeCloudData’s student Sneha Mehrin. This Article Outlines the Key Steps in Creating a Highly Interactive Dashboard in Einstein Analytics by Connecting to Redshift. image from This article is a part of the series and continuation from the previous article where we build a data warehouse in Redshift to store the streamed and processed […]

Creating a Data Warehouse Using Amazon Redshift for StackOverflow Data

The blog is posted by WeCloudData’s  student Sneha Mehrin. Steps to Create a Data Warehouse and Automate the Process of Loading Pre-Processed Data Using Pyspark Script in Emr image from This article is part of the series and continuation of the previous post where we processed the streamed data using spark on EMR. Why use Redshift? Redshift is […]

Data Processing Stack Overflow Data Using Apache Spark on AWS EMR

The blog is posted by WeCloudData’s  student Sneha Mehrin. An overview on how to process data in spark using DataBricks, add the script as a step in AWS EMR and output the data to Amazon Redshift This article is part of the series and continuation of the previous post. In the previous post, we saw how we can […]

How to Build a Technical Design Architecture for an Analytics Data Pipeline

The blog is posted by WeCloudData’s student Sneha Mehrin. An Overview of Designing & Building a Technical Architecture for an Analytics Data Pipeline Problem. This article is a continuation of the previous post and will outline how to transform our user requirements into a technical design and architecture. Let’s summarise our two major requirements: Let’s […]

Build Real-Time Dashboard on Amazon Webservices

The blog is posted by WeCloudData’s student Luis Vieira. I will be showing how to build a real-time dashboard on Amazon Webservices for two different use cases, and a registry of open data from New York City Taxi and Limousine Commission (TLC) Trip Record Data. By the end you should have a Kibana Dashboard as following: […]

Data Analysis on Twitter Data Using DynamoDB and Hive

The blog is posted by WeCloudData’s student Amany Abdelhalim. There are two steps that I followed to create this pipeline : 1) Collect Twitter Feeds and Ingest into DynamoDB 2) Copy the Twitter Data from DynamoDB to Hive First: Collect Twitter Feeds and Ingest into DynamoDB In order to create a pipeline where I collect tweets on a […]

Live Twitter Sentiment Analysis

The blog is posted by WeCloudData’s Big Data course student Udayan Maurya. This Live Twitter Sentiment Analyzer helps track present sentiment for a given track word. In this document, I will describe the work flow I followed to develop this SaaS app. Contents Data Pipeline Map Data Collection Preparing Data for Data Analysis Training the […]

An Introduction to Big Data & ML Pipeline in AWS

The blog is posted by WeCloudData’s Big Data course student Abhilash Mohapatra. This story represents an easy path for below items in AWS : Build an Big Data Pipeline for both Static and Streaming Data. Process Data in Apache Hadoop using Hive. Load processed data to Data Warehouse solution like Redshift and RDS like MySQL. […]

An Introduction to Data Pipeline with Spark in AWS

The blog is posted by WeCloudData’s Big Data course student Abhilash Mohapatra. This story represents an easy path to Transform Data using PySpark. Along with Transformation, Spark Memory Management is also taken care. Here Freddie-Mac Acquisition and Performance Data from year 1999–2018 is used to create a Single o/p file which can further be used for Data Analysis or Building Machine […]

Building Data Pipeline in AWS for Retail Data

The blog is posted by WeCloudData’s Data Engineering course student Rupal Bhatt.  Here is a Donut Chart prepared from processed data. Our data passes through several processes before meeting a dashboard and giving us a full picture like the one above. This is an attempt to show you one way of processing such data. Big […]